Data Science Director jobs in Chicota, TX

***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies.

Responsibilities:

• Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions.
• Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations.
• Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI.
• Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework.
• Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
• Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.

Qualifications

• Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred.
• Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
• Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
• Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors.
• Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context.
• Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
• A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations.
• Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras.
• Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
• Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
• Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
• Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
• In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
• Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
• Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.